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Game artificial intelligence
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201	Evaluating the believability of agents in virtual worlds Henrik Warpefelt Dept. of Computer and Systems Sciences Stockholm University Forum 100, 16443 Kista Add to Reading List Source URL: www.inf.kcl.ac.uk Language: English - Date: 2013-06-09 18:08:16 Knowledge Agent Virtual world Macroeconomic model Affect Norm Situated Game Embodied agent Artificial intelligence Terminology Leisure
202	CS 61B: Lecture 17 Monday, March 3, 2014 The following pseudocode computes a grid’s score and the best move from that grid (which determines the grid’s score). A Best object holds a record of the best move and its sc Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-03-22 23:58:44 Search algorithms Artificial intelligence Abstract strategy games Detection theory Game theory Minimax Alpha-beta pruning Computer chess Game tree Game artificial intelligence Games Mathematics
203	THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF COMPUTER SCIENCE AND ENGINEERING Expectimax Enhancements for Stochastic Game Players Add to Reading List Source URL: jveness.info Language: English - Date: 2009-09-12 23:05:58 Mathematics Problem solving Minimax Negamax Alpha-beta pruning Variation Killer heuristic Expectiminimax tree Game tree Game artificial intelligence Search algorithms Artificial intelligence
204	A Stubborn Set Algorithm for Optimal Planning 1 and Malte Helmert2 ¨ Yusra Alkhazraji1 and Martin Wehrle2 and Robert Mattmuller Abstract. We adapt a partial order reduction technique based on Add to Reading List Source URL: ai.cs.unibas.ch Language: English - Date: 2013-01-07 17:29:29 Artificial intelligence A* search algorithm Combinatorial optimization Pruning Algorithm Heuristic function Specific Area Message Encoding Partial order reduction Applied mathematics Search algorithms Mathematics Game artificial intelligence
205	Crowd-Anticrowd Theory of Collective Dynamics in Competitive, I. INTRODUCTION thought to pervade much of the natural, informational, sociological, and economic world Add to Reading List Source URL: www.ima.umn.edu Language: English - Date: 2003-11-07 13:31:47 Complex systems theory Scientific modeling El Farol Bar problem Science Artificial intelligence Computing Game theory Multi-agent systems Agent-based model
206	Monte Carlo -Minimax Search Marc Lanctot1 , Abdallah Saffidine2 , Joel Veness3 , Christopher Archibald3 , and Mark H.M. Winands1 1 Department of Knowledge Engineering, Maastricht University, Netherlands, {marc.lanctot, Add to Reading List Source URL: jveness.info Language: English* - Date: 2013-05-27 08:48:20 Mathematics Applied mathematics Computer chess Game theory Combinatorial game theory Minimax Alpha-beta pruning Negamax Expectiminimax tree Game artificial intelligence Artificial intelligence Search algorithms
207	Incremental LM-Cut Florian Pommerening and Malte Helmert Universit¨at Basel Fachbereich Informatik BernoullistrasseBasel, Switzerland Add to Reading List Source URL: ai.cs.unibas.ch Language: English - Date: 2013-04-08 11:17:47 Search algorithms Mathematics Heuristic function Increment Science Transposition table Admissible heuristic Heuristic B-tree Game artificial intelligence Heuristics Artificial intelligence
208	The Monte-Carlo Approach in Amazons Julien Kloetzer1 , Hiroyuki Iida1 , and Bruno Bouzy2 1 Research Unit for Computers and Games Japan Advanced Institute of Science and Technology Add to Reading List Source URL: www.math-info.univ-paris5.fr Language: English - Date: 2007-10-05 12:28:54 Game artificial intelligence Abstract strategy games Combinatorial game theory Search algorithms Computer chess Game of the Amazons Minimax Monte Carlo method Game tree Mathematics Games Applied mathematics
209	Journal of Artificial Intelligence Research367 Submitted 1/14; published 6/14 Game-Theoretic Security Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System Add to Reading List Source URL: jair.org Language: English - Date: 2014-06-19 15:08:32 Analysis of algorithms Artificial intelligence Game theory Markov models Tambe Adversary model Stackelberg competition Markov decision process Uncertainty Statistics Science Markov processes
210	Playing Games in Many Possible Worlds Matt Lepinski∗ , David Liben-Nowell† , Seth Gilbert∗ , and April Rasala Lehman‡ (∗ ) Computer Science and Artificial Intelligence Laboratory, MIT; Cambridge, MA 02139 († Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-09-28 06:21:08 Bayesian game Nash equilibrium Epsilon-equilibrium Zero–sum game Strategy Stochastic game Correlated equilibrium Outcome Best response Game theory Problem solving Economics

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